Sentence examples for binary mixtures from the from inspiring English sources

Lawless proposed a prediction model for the pleasantness of binary mixtures from the pleasantness of their constituents, based on their pleasantness intensity dependency (Lawless 1977).

Here we propose a new prediction paradigm for the pleasantness of binary mixtures from the pleasantness and intensities of their separated constituents at different mixing ratios.

Based on these results, we proposed a prediction paradigm for the pleasantness of binary mixtures from the pleasantness of their separated constituents weighted by their respective perceived intensities.

As shown by the large R values (Table 3) and by the fits between the predicted and the observed pleasantness in all mixtures, both the sin model and the squared weighted intensities were capable of predicting the pleasantness of a binary mixture from the pleasantness and intensities of its constituents (with R value above 0.87).

We predicted mixture responses for the 3 binary mixtures from measurements of the single and double concentrations of their components using Formula 2. We found the measured responses to be significantly lower than the predictions in all cases.

A computer program has been developed to calculate the critical properties of binary mixtures from Deiters' equation of state.

To overcome these limitations, Kabanov et al. [104] prepared binary mixtures from hydrophobic PBC (L121, L101, L81, and L61) and hydrophilic PBC (F127, P105, F87, P85, and F68).

In a recent publication (Moggridge, 2012), it was shown that a simple equation could be used to accurately predict the mutual diffusion coefficients in a wide range of non-ideal binary mixtures from their tracer diffusion coefficients and a thermodynamic correction factor.

The desorption of a binary mixture from activated carbon and the consequent separation effect was investigated with a new experimental technique.

To conclude, we proposed a working paradigm for the prediction of binary mixtures' pleasantness from the pleasantness of the mixture's constituents.

We set out to predict binary mixture pleasantness from the pleasantness of the separated constituents of the mixture.